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Mathematics and Computers in Simulation
Article . 2018 . Peer-reviewed
License: Elsevier TDM
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Article . 2018
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https://dx.doi.org/10.48550/ar...
Article . 2016
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Article . 2018
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Isogeometric analysis for turbulent flow

Authors: Bohumír Bastl; Marek Brandner; Jirí Egermaier; Kristýna Michálková; Eva Turnerová;

Isogeometric analysis for turbulent flow

Abstract

The article is devoted to the simulation of viscous incompressible turbulent fluid flow based on solving the Reynolds averaged Navier-Stokes (RANS) equations with different k-omega models. The isogeometrical approach is used for the discretization based on the Galerkin method. Primary goal of using isogeometric analysis is to be always geometrically exact, independent of the discretization, and to avoid a time-consuming generation of meshes of computational domains. For higher Reynolds numbers, we use stabilization SUPG technique in equations for k and omega. The solutions are compared with the standard benchmark example of turbulent flow over a backward facing step.

Keywords

turbulent flow, \(k\)-\(\varepsilon\) modeling in turbulence, FOS: Physical sciences, Numerical Analysis (math.NA), Mathematical Physics (math-ph), Numerical computation using splines, \(k\)-\(\omega \), Statistical solutions of Navier-Stokes and related equations, isogeometric analysis, FOS: Mathematics, Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs, Mathematics - Numerical Analysis, Navier-Stokes equations, Mathematical Physics, Finite element methods applied to problems in fluid mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
bronze